title: SurvJamda: an R package to predict patients' survival and risk assessment using joint analysis of microarray gene expression data.
abstract: SurvJamda (Survival prediction by joint analysis of microarray data) is an R package that utilizes joint analysis of microarray gene expression data to predict patients' survival and risk assessment. Joint analysis can be performed by merging datasets or meta-analysis to increase the sample size and to improve survival prognosis. The prognosis performance derived from the combined datasets can be assessed to determine which feature selection approach, joint analysis method and bias estimation provide the most robust prognosis for a given set of datasets.
  
  
  BACKGROUND
  The survJamda package is available at the Comprehensive R Archive Network, http://cran.r-project.org.
  
  
  BACKGROUND
  hyasrebi@yahoo.com.
authors.affiliation: Swiss Institute for Experimental Cancer Research (ISREC), Swiss Federal Institute of Technology (EPFL), School of Life Sciences (SV) and Swiss Institute of Bioinformatics, EPFL SV ISREC, Station 15, 1015 Lausanne, Switzerland. hyasrebi@yahoo.com
authors.forename: Haleh
authors.initials: H
authors.lastname: Yasrebi
mesh_terms: D020869:Gene Expression Profiling / Q000379:methods*; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis; D011379:Prognosis; D018570:Risk Assessment / Q000379:methods; D012984:Software; D016019:Survival Analysis